Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

“…Segmentation of Multiple Sclerosis (MS) lesions from Magnetic Resonance Imaging (MRI) data presents a significant challenge due to the necessity for large volumes of training data and a sophisticated training process. …”
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Multi-atlas multi-modality morphometry analysis of the South Texas Alzheimer’s Disease Research Center postmortem repository by Nicolas Honnorat, Mariam Mojtabai, Karl Li, Jinqi Li, David Michael Martinez, Tanweer Rashid, Morgan Smith, Margaret E Flanagan, Elyas Fadaee, Morgan Fox Torres, Mallory Keating, Kevin Bieniek, Sudha Seshadri, Mohamad Habes

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A prior information-based multi-population multi-objective optimization for estimating 18F-FDG PET/CT pharmacokinetics of hepatocellular carcinoma by Yiwei Xiong, Siming Li, Jianfeng He, Shaobo Wang

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The role of the precuneus in dissociative seizures: A structural neuroimaging study by Leonie Helmstaedter, Stoyan Popkirov, Jörg Wellmer, Corinna Seliger, Johannes Jungilligens

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Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility by Ismail Gümüssoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalik, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

“…The nnU-Net v2 architecture was utilized to process the training and test datasets, generating the algorithm weight factors. …”
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CUDA-Accelerated Geodesic Ray-Tracing for Fiber Tracking by Evert van Aart, Neda Sepasian, Andrei Jalba, Anna Vilanova

“…In this paper, we outline an approach to accelerating such a fiber-tracking algorithm using a Graphics Processing Unit (GPU). This algorithm, which is based on the calculation of geodesics, has shown promising results for both synthetic and real data, but is limited in its applicability by its high computational requirements. …”
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Advancing Taxonomy with Machine Learning: A Hybrid Ensemble for Species and Genus Classification by Loris Nanni, Matteo De Gobbi, Roger De Almeida Matos Junior, Daniel Fusaro

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Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data by Maximilian Malek, Christoph W. Sensen

“…We have created an open-source application and framework for rapid GPU-accelerated prototyping, targeting image analysis, including volumetric images such as CT or MRI data. …”
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Cross-Modal Fake News Detection Method Based on Multi-Level Fusion Without Evidence by Ping He, Hanxue Zhang, Shufu Cao, Yali Wu

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Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods by David S. Smith, John C. Gore, Thomas E. Yankeelov, E. Brian Welch

“…Reconstruction of two-dimensional data matrices of dimension 10242 and smaller took ~0.3 s or less, showing that this platform also provides very fast iterative reconstruction for small-to-moderate size images.…”
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A Novel Flexible Model for the Extraction of Features from Brain Signals in the Time-Frequency Domain by R. Heideklang, G. Ivanova

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Data Compression with a Time Limit by Bruno Carpentieri

“…In this paper, we explore a framework to identify an optimal choice of compression algorithms that enables the best allocation of computing resources in a large-scale data storage environment: our goal is to maximize the efficiency of data compression given a time limit that must be observed by the compression process. …”
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Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review by James C. L. Chow

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Feature Transformation-Based Few-Shot Class-Incremental Learning by Xubo Zhang, Yang Luo

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Enhancing knee MRI bone marrow lesion detection with artificial intelligence: An external validation study by Kevin Maarek, Philippine Cordelle, Tom Vesoul, Pascal Zille, Gaspard d'Assignies, Antoine Feydy, Guillaume Herpe

“…Background: Magnetic resonance imaging (MRI) is a sensitive imaging modality for identifying knee bone marrow edema, a significant biomarker in osteoarthritis and injury assessment. …”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…We also compare the task-related sources estimated from true fMRI data by a feature-selective ICA algorithm versus an ICA algorithm and show evidence that the feature-selective scheme helps improve the estimation of the sources in both spatial activation patterns and the time courses.…”
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Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on DRSN–GCE Model by Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Jiaming Chen, Xuelian Yu

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AI-Enhanced Design and Application of High School Geography Field Studies in China: A Case Study of the Yellow (Bohai) Sea Migratory Bird Habitat Curriculum by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

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Modeling and Reconstruction of Mixed Functional and Molecular Patterns

“…<p>Functional medical imaging promises powerful tools for the visualization and elucidation of important disease-causing biological processes in living tissue. …”
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A Context-Sensitive Active Contour for 2D Corpus Callosum Segmentation by Qing He, Ye Duan, Judith Miles, Nicole Takahashi

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